skillfed

tensorboard-plugin-wit

What-If Tool TensorBoard plugin.

tensorboard-plugin-wit v1.8.1 2.1M downloads/30d#3,329 on PyPI
Permissive license Apache 2.0 Abandoned released

What it is and what it does

tensorboard-plugin-wit is a TensorBoard plugin that integrates the What-If Tool, an interactive visual interface for probing and understanding ML model predictions. It was originally part of the TensorBoard repository but was extracted into its own package and repository. The plugin adds no runtime dependencies and installs with low friction as a pure Python wheel.

The package is now abandoned—its last release was 2022-01-05. It remains a transitive dependency of the main tensorboard package, which means it is still distributed and installed when users install TensorBoard, but it receives no direct maintenance or updates. Users relying on the What-If Tool should verify that the plugin remains compatible with their TensorBoard version, as no fixes or enhancements are expected from this package itself.

Use it for:

  • Explore counterfactual predictions by interactively modifying input features in TensorBoard.
  • Visualize how model outputs change across different input ranges and feature combinations.
  • Debug model behavior and identify potential biases or unexpected decision boundaries.
  • Communicate model behavior to non-technical stakeholders through an interactive interface.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Adds the What-If Tool, an interactive visual interface for exploring and understanding ML model behavior, as a plugin to TensorBoard.

Yes, if you are already using TensorBoard—it will be installed as a dependency. However, do not rely on this package for new features or bug fixes; it is abandoned and has not been updated since 2022-01-05. Verify compatibility with your TensorBoard version before depending on the What-If Tool for critical workflows.

Install

tensorboard-plugin-wit on PyPI

pip

pip install tensorboard-plugin-wit

uv

uv add tensorboard-plugin-wit

poetry

poetry add tensorboard-plugin-wit

Installing tensorboard-plugin-wit

Before you install

Low install friction with no runtime dependencies. The package is abandoned—last release was 2022-01-05. It remains a dependency of the main tensorboard package, so it is still distributed, but direct updates are unlikely.

License in practice

Licensed under Apache 2.0 (permissive), which allows broad use, modification, and distribution with minimal restrictions. No license friction for most use cases.

Quickstart

pip install tensorboard-plugin-wit

# Typically installed as a dependency of tensorboard; no direct import needed.
# Access via TensorBoard UI when tensorboard is launched.

Requires TensorBoard to be installed and running; the plugin does not function standalone.

Verify before relying

  • Whether the What-If Tool UI remains fully functional with current TensorBoard versions despite abandonment since 2022-01-05.
  • Whether any breaking changes in TensorBoard have affected plugin compatibility.
  • Current state of the upstream repository at https://github.com/pair-code/what-if-tool.

Package facts

License Apache 2.0 (permissive)
Python support not specified
Install friction low — pure-Python wheel
Runtime dependencies none
Maintenance abandoned — 1,682 days since the last release
First released
Downloads 2,064,441/month — #3,329 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: tensorboard_plugin_wit-1.8.1-py3-none-any.whl

Tags

tensorboard plugin ml model visualizationwhat-if tool interactive model probingml model interpretability explorationtensorboard model understandinginteractive ml model debugging
tensorboard-pluginmodel-interpretabilityabandoned

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